Our Autonomous Driving (AD) and Robotics team is building the data engine and infrastructure that ... This is a critical role that directly influences multi-million dollar contracts and initiatives.
Our Autonomous Driving (AD) and Robotics team is building the data engine and infrastructure that ... This is a critical role that directly influences multi-million dollar contracts and initiatives.
Contract Data Annotation information
What is the difference between Contract Data Annotation vs Data Labeler?
| Aspect | Contract Data Annotation | Data Labeler |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote or on-site, project-based | Remote or on-site, task-based |
| Industry Usage | AI/ML training, tech companies | AI/ML training, tech companies |
| Job Focus | Annotating data for machine learning models | Labeling data to improve AI algorithms |
Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.
What is a contract data annotation?
A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.
What are the key skills and qualifications needed to thrive as a contract data annotation specialist?
To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.
What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?
Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
What are the most commonly searched types of Data Annotation jobs in New York? The most popular types of Data Annotation jobs in New York are:
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Other
Medical, Dental, Vision, Retirement, PTO
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Scale AI rating
8.5
Based on 9 frontline employees who took The Breakroom Quiz
78th of 243 rated software companies
Job description
The next frontier for AI is the physical world. At Scale, we're pioneering this shift, moving artificial intelligence from digital spaces into robotics and autonomous systems. Our Autonomous Driving (AD) and Robotics team is building the data engine and infrastructure that powers L3/L4 autonomy and complex robotic manipulation. We are looking for a pivotal Solutions Engineer to join this team..
As a Solutions Engineer, you'll be a trusted technical partner to the world's most innovative Foundation Model builders and renowned robotics companies (from Humanoids to Robotaxis). You will partner closely with Product, Sales, and ML Engineers to guide prospective customers through the pre-sales process, delivering customized demos and Proof of Concepts that secure the "technical win.
You'll help customers bridge the gap between simulation (Digital Twins) and real-world deployment by defining technical requirements for multi-modal real-world data pipelines (LiDAR, Radar, Camera, and IMU). You'll develop actionable Statements of Work and collaborate with the delivery team on high-fidelity ground truth implementation. Your expert knowledge of Scale's products will allow you to design creative, impactful solutions.
This is a critical role that directly influences multi-million dollar contracts and initiatives. You'll travel globally to conduct on-site technical workshops and scope new projects, while also leading demos and pilots for new prospects. You'll be part of a tight-knit, specialized team, influencing a rapidly growing business that is expanding into new product areas.
In this role, you will:
- Partner with Scale Account Executives and Engagement Managers to deliver new customer pilots and grow technical relationships with existing clients.
- Work with Product Engineering and Product Management to influence our product roadmap based on your frontline insights.
- Become a domain expert in next-generation Robotics and physical AI (e.g. VLMs, VLAs, World Models)
- Develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, GPS/INS navigation systems, computer vision and other autonomy-adjacent concepts
- Be accountable for the technical customer experience and commercial growth, expanding relationships and use cases with existing customers.
- Collaborate with highly technical engineers at our customer sites to ensure satisfaction with our data, software platforms, and workflows.
- Design and develop playbooks, demos, and other tools to ensure efficient and successful pilots and customer expansions.
- Pioneer the development of a global Robotics Data Marketplace, actively seeking out and engaging with key international partners to build a comprehensive data ecosystem.
- Evangelize Scale by interacting with customers at major industry events and academic conferences.
You have:
- A strong engineering background, preferably in Robotics, Mechatronics, Computer Science, Mathematics, or other Engineering fields.
- 3+ years of experience developing with Python, C++, Java, and/or other scripting languages.
- Hands-on experience in Autonomous Driving, Robotics or Physical AI
- Exceptional project management and interpersonal skills, strong attention to detail, and a strong sense of ownership.
- The presentation skills and technical credibility to speak confidently with a variety of stakeholders, from executives to front-line engineers.
- A high level of comfort communicating effectively across internal and external organizations.
- Regular travel within the Bay Area.
- International travel approximately once every two months.
- Intellectual curiosity, empathy, and the ability to operate with a high degree of autonomy.
Bonus points if you have:
- Prior sales, solutions engineering, or partnership experience with a track record of successfully achieving quota.
- Ideally would have experience selling complex technical solutions to enterprises with deal sizes of $500K to $5M+.
*This role can be based in San Francisco, New York, Detroit or Denver.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$180,000—$225,000 USD
PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
About Scale AI
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
San Francisco, CA, US
Year founded
2016